In the past decades, the amount of publicly available data has surged, offering new opportunities to enhance our decision-making process with the aid of accurate predictions and insightful analytics. This is the essence of data science.
Under this framework, we seek to understand how popularity follows the products of creativity, which may remain concealed in the underground scene or become widely acclaimed artworks. As an applied mathematician, I investigate musical records using statistical theory and machine learning, to determine how artistic merits, public’s tastes, and commercial strategies will designate the next popular hit.
